Stripe is a financial infrastructure platform for businesses, helping companies accept payments, grow revenue, and accelerate new business opportunities.
About the team
Data Science at Stripe is a community where data analysts and data scientists learn and grow together.
You'll work with fundamental data at Stripe to help drive company-wide initiatives.
Responsibilities
Design and build scalable data models and infrastructure to power product analytics and metrics reporting
Own business-critical data products, including Tier-1 datasets and production pipelines
Build and maintain metric definitions, metadata, and business context enabling AI agents
Develop dashboards, automated reporting, and analyses to surface actionable insights
Partner with senior business leaders to translate business needs into analytical questions
Shape product and business strategy across global markets
Requirements
6+ years of full-time experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or related analytical role
Proficiency in SQL, including complex query optimization and data modeling
Proficiency in Scala or Python for data pipeline development
Experience with distributed data frameworks like Spark
Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent)
Proven ability to design, implement, and maintain production-grade data pipelines and dashboards
Understanding of development processes and best practices (code reviews, testing)
Experience owning production data products with quality standards, testing, and documentation
Proficiency with AI tools to accelerate model development, analysis, and coding
Conditions
Office-assigned roles expected to spend at least 50% of time in local office or with users